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T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.

Clinical radiology - 1 May 2024

Tang W-T, Su C-Q, Lin J, Xia Z-W, Lu S-S, Hong X-N

Abstract excerpt

AIM: To investigate the application of the T2-weighted (T2)-fluid-attenuated inversion recovery (FLAIR) mismatch sign and machine learning-based multiparametric magnetic resonance imaging (MRI) radiomics in predicting 1p/19q non-co-deletion of lower-grade gliomas (LGGs). MATERIALS AND METHODS: One hundred and forty-six patients, who had pathologically confirmed isocitrate dehydrogenase (IDH) mutant LGGs were...

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Brain Neoplasms
Glioma
Isocitrate Dehydrogenase
Machine Learning
Magnetic Resonance Imaging

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PMID: 38360515
DOI: 10.1016/j.crad.2024.01.021

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